AIMC Topic: Brain Waves
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Uncovering phase-coupled oscillatory networks in electrophysiological data.
Human brain mapping
Apr 12, 2015
Phase consistent neuronal oscillations are ubiquitous in electrophysiological recordings, and they may reflect networks of phase-coupled neuronal populations oscillating at different frequencies. Because neuronal oscillations may reflect rhythmic mod...
Realistic Subject-Specific Simulation of Resting State Scalp EEG Based on Physiological Model.
Brain topography
May 13, 2025
Electroencephalography (EEG) recordings are widely used in neuroscience to identify healthy individual brain rhythms and to detect alterations associated with various brain diseases. However, understanding the cellular origins of scalp EEG signals an...
Is depression lifting? AI that interprets brain waves has answers.
Nature
Oct 1, 2023
Predicting Deep Hypnotic State From Sleep Brain Rhythms Using Deep Learning: A Data-Repurposing Approach.
Anesthesia and analgesia
May 1, 2020
BACKGROUND: Brain monitors tracking quantitative brain activities from electroencephalogram (EEG) to predict hypnotic levels have been proposed as a labor-saving alternative to behavioral assessments. Expensive clinical trials are required to validat...
Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation.
Journal of Alzheimer's disease : JAD
Jan 1, 2020
BACKGROUND: Several studies investigated clinical and instrumental differences to make diagnosis of dementia in general and in Alzheimer's disease (AD) in particular with the aim to classify, at the individual level, AD patients and healthy controls ...
Relative wave energy-based adaptive neuro-fuzzy inference system for estimation of the depth of anaesthesia.
Journal of integrative neuroscience
Jan 1, 2018
The advancement in medical research and intelligent modeling techniques has lead to the developments in anaesthesia management. The present study is targeted to estimate the depth of anaesthesia using cognitive signal processing and intelligent model...
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